# -*- coding: utf-8 -*-

import cv2
import numpy as np
from matplotlib import pyplot as plt
# 读取灰度图像--根据灰度图像的阈值对图像进行二值化处理

img_gray = cv2.imread('credit_card_01.png',0)
ret,thresh1 = cv2.threshold(img_gray,127,255,cv2.THRESH_BINARY)
ret,thresh2 = cv2.threshold(img_gray,127,255,cv2.THRESH_BINARY_INV)
ret,thresh3 = cv2.threshold(img_gray,127,255,cv2.THRESH_TRUNC)
ret,thresh4 = cv2.threshold(img_gray,127,255,cv2.THRESH_TOZERO)
ret,thresh5 = cv2.threshold(img_gray,127,255,cv2.THRESH_TOZERO_INV)

titles = ["Original Image","BINAYR","BINARY_INV","TRUNC","TOZERO","TOZERO_INV"]
images = [img_gray,thresh1,thresh2,thresh3,thresh4,thresh5]

for i in range(6):
    plt.subplot(2,3,i+1),plt.imshow(images[i],"gray")
    plt.title(titles[i])
    plt.xticks([]),plt.yticks([])
plt.show()

